FORMAL mini-conference: ML for Marine Sciences

Machine Learning offers new opportunities for Marine Sciences, both for analysis large marine datasets (e.g., satellite, imaging, acoustic) and for improving marine ecosystem models. The online FORMAL mini-conference on Machine Learning for Marine Sciences (ML4MS) will showcase invited presentations on recent developments in Machine Learning for Marine Sciences and, more generally, for Environmental Sciences. 

Registration is mandatory : please register HERE.

Program

Mon 28 March 2022, 14h-16h CET

• Ketil Malde, Ass. Prof. at the University of Bergen (Bergen, Norway), invited Prof. at SU by SCAI, ISCD and iOcean - Machine learning and the data-driven future of marine sciences
• Ronan Fablet, Prof. IMT Atlantique, Lab-STICC, AI Chair OceaniX (Brest, France) - End-to-end and physics-informed learning for ocean dynamics
• Benjamin Deneu, PhD candidate at INRIA (Montpellier, France) - Convolutional neural networks for species distribution modelling

Fri 1st April 2022, 14h-16h CET

• Frédéric Maps, Ass. Prof. University Laval (Québec, Canada) - ML for plankton images: from classification to the estimation of functional traits
• Tanya Strydom, PhD candidate at Université de Montréal (Montreal, Canada) - Making something out of nothing at all: transfer learning for network prediction
• Alba Ordoñez, Senior Research Scientist at the Norwegian Computing Centre (Oslo, Norway) - Improving marine acoustic target classification with spatial information
• Maike Sonnewald, Ass. Res. Scholar at Princeton University and NOAA (Seattle, USA). (Recorded presentation) - Using deep learning for prediction of physical regimes and biological provinces